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@ -32,11 +32,7 @@ int main() |
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#include <cuda.h> |
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#include <cuda_runtime.h> |
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#include <GL/gl.h> |
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#include <cudaGL.h> |
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#include "opencv2/core/internal.hpp" // For TBB wrappers |
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#include "tbb/tbb.h" |
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#include "tbb/mutex.h" |
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using namespace std; |
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using namespace cv; |
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@ -58,14 +54,14 @@ inline void safeCall_(int code, const char* expr, const char* file, int line) |
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} |
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// Each GPU is associated with its own context
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CUcontext contexts[/*2*/1]; |
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CUcontext contexts[2]; |
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void inline contextOn(int id)
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void inline contextOn(int id) |
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{ |
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safeCall(cuCtxPushCurrent(contexts[id])); |
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} |
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void inline contextOff()
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void inline contextOff() |
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{ |
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CUcontext prev_context; |
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safeCall(cuCtxPopCurrent(&prev_context)); |
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@ -80,10 +76,6 @@ GpuMat d_result[2]; |
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// CPU result
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Mat result; |
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int some[2]; |
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tbb::mutex mutex; |
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int main(int argc, char** argv) |
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{ |
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if (argc < 3) |
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@ -93,11 +85,11 @@ int main(int argc, char** argv) |
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} |
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int num_devices = getCudaEnabledDeviceCount(); |
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// if (num_devices < 2)
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// {
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// std::cout << "Two or more GPUs are required\n";
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// return -1;
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// }
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if (num_devices < 2) |
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{ |
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std::cout << "Two or more GPUs are required\n"; |
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return -1; |
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} |
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for (int i = 0; i < num_devices; ++i) |
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{ |
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@ -131,14 +123,13 @@ int main(int argc, char** argv) |
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// Create context for GPU #0
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CUdevice device; |
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safeCall(cuDeviceGet(&device, 0)); |
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safeCall(cuGLCtxCreate(&contexts[0], 0, device)); |
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//safeCall(cuCtxCreate(&contexts[0], 0, device));
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safeCall(cuCtxCreate(&contexts[0], 0, device)); |
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contextOff(); |
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// // Create context for GPU #1
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// safeCall(cuDeviceGet(&device, 0));
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// safeCall(cuCtxCreate(&contexts[1], 0, device));
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// contextOff();
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// Create context for GPU #1
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safeCall(cuDeviceGet(&device, 1)); |
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safeCall(cuCtxCreate(&contexts[1], 0, device)); |
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contextOff(); |
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// Split source images for processing on GPU #0
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contextOn(0); |
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@ -148,20 +139,15 @@ int main(int argc, char** argv) |
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contextOff(); |
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// Split source images for processing on the GPU #1
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contextOn(0); |
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contextOn(1); |
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d_left[1].upload(left.rowRange(left.rows / 2, left.rows)); |
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d_right[1].upload(right.rowRange(right.rows / 2, right.rows)); |
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bm[1] = new StereoBM_GPU(); |
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contextOff(); |
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some[0] = some[1] = 0; |
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// Execute calculation in two threads using two GPUs
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vector<int> devices; |
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for (int i = 0; i < 4; ++i) |
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devices.push_back(rand()%2); |
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tbb::parallel_do(&devices[0], &devices[devices.size() - 1], Worker()); |
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cout << some[0] << " " << some[1] << endl; |
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int devices[] = {0, 1}; |
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parallel_do(devices, devices + 2, Worker()); |
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// Release the first GPU resources
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contextOn(0); |
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@ -173,7 +159,7 @@ int main(int argc, char** argv) |
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contextOff(); |
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// Release the second GPU resources
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contextOn(0); |
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contextOn(1); |
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imshow("GPU #1 result", Mat(d_result[1])); |
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d_left[1].release(); |
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d_right[1].release(); |
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@ -189,9 +175,7 @@ int main(int argc, char** argv) |
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void Worker::operator()(int device_id) const |
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{ |
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mutex.lock(); |
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contextOn(0); |
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contextOn(device_id); |
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bm[device_id]->operator()(d_left[device_id], d_right[device_id], |
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d_result[device_id]); |
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@ -200,16 +184,13 @@ void Worker::operator()(int device_id) const |
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<< "): finished\n"; |
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contextOff(); |
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mutex.unlock(); |
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} |
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void destroyContexts() |
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{ |
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safeCall(cuCtxDestroy(contexts[0])); |
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//safeCall(cuCtxDestroy(contexts[1]));
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safeCall(cuCtxDestroy(contexts[1])); |
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} |
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#endif |
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